PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (508 utterances, 1,273 words searched).

  1. onguent ? FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1292 · Jessica 1;11
  2. onguent ? FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1370 · Jessica 1;11
  3. onguent . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1395 · Jessica 1;11
  4. onguent . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1420 · Jessica 1;11
  5. onguent . FAT · bilingual_eng_Genesee/jes13b11f.cha, line 1427 · Jessica 1;11
  1. FAT0.
    FATJessie # what's that .
    FAT*FAT: onguent ?
    CHIonguent .
    CHIonguent .
  2. FATeh ?
    CHIonguent ?
    FAT*FAT: onguent ?
    CHIonguent ?
    FATwant some nonguent on your bobos ?
  3. CHI0.
    FATno here .
    FAT*FAT: onguent .
    FATon your bobo ?
    FATokay you take it # you put it on .
  4. CHIonguent .
    CHIonguent .
    FAT*FAT: onguent .
    FATnot gonan ?
    CHIonguent .
  5. FATnot gonan ?
    CHIonguent .
    FAT*FAT: onguent .
    FATokay all done now .
    FATwhat's that .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jessica bilingual_eng_Genesee3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/jes13b11f.chaJessica 1;11.051,273553.93

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. onguent5 · 100.0%